Data Engineer

The GPT Group; Sydney; Hybrid; AUD 130,000 - 170,000; Full time

Benefits offered by this job

Flexible working

Parental leave 22 weeks

Learning & Development

Wellbeing programs

Employee Referral Program

Job summary

The GPT Group is seeking a hands-on Data Engineer to join our Data & Analytics team in Sydney. You will design, build and maintain ingestion pipelines, databases and datasets that power our data platform and AI estate.

This is a build-and-run role with day-to-day operations and collaboration with external data and AI partners. You’ll work under the Data Engineering Manager, use AI-assisted tooling to accelerate delivery, and contribute to data products, analytics engineering, and the semantic

Qualifications

• Ter tiary educated data engineer with production pipelines experience.
• Exposure to modern analytics tooling and AI/GenAI data workflows is a plus.
• Strong SQL, Python and cloud data warehouse knowledge required.

Responsibilities

• Build and maintain data ingestion pipelines across structured and unstructured sources.
• Develop and maintain components of the data platform (Snowflake, databases, tooling).
• Support platform reliability, performance and cost by monitoring pipelines and resolving issues.
• Contribute to analytics engineering and semantic layer with curated datasets for reports and products.
• Create AI-facing data foundations to support AI team data products.
• Follow engineering standards and code review practices.

Skills

SQL

Python

Snowflake

dbt

Education

Tertiary degree

Tools

Snowflake

dbt

Job description

Select how often (in days) to receive an alert:

We shape leading experiences across office, retail, logistics and student accommodation.

We’re one of Australia’s largest property groups, managing $38.9 billion worth of assets across the country.

Our sustainable returns from investments come from focusing on what matters most to customers — a great experience and doing good. Every day, our people are driving positive impact for people, place and planet. They’re inquisitive, pioneering industry firsts and pushing new ideas to deliver exceptional outcomes.

This passion and expertise creates an employee experience that puts wellbeing, flexibility and opportunity first.

The role

We're looking for a hands-on Data Engineer to join our Data & Analytics team and play a central role in building the data foundation our business runs on.

Sitting within the Data Engineering sub-team and reporting to the Data Engineering Manager, you'll design, build and maintain the ingestion pipelines, databases and curated datasets that our data platform and wider Data & AI estate depend on. This is a build-and-run role where you'll develop new pipelines, keep day-to-day operations running smoothly, and investigate and resolve data issues as they arise. You'll work AI-first using AI-assisted tooling to accelerate delivery, contribute to the pipelines that feed our AI team's work, and collaborate closely with our external data and AI partner on shared delivery.

What you will be doing

• Building and maintaining data ingestion and pipelines across structured and unstructured sources, landing, transforming and making data available reliably and at scale.
• Developing and maintaining components of the data platform — Snowflake, databases and supporting tooling — within the architecture and standards set by the Data Engineering Manager.
• Supporting platform reliability, performance and cost in practice — monitoring pipelines, investigating failures and resolving day-to-day issues, escalating to the Manager where needed.
• Contributing to analytics engineering and the semantic layer, producing curated, well-modelled datasets that feed reporting and data products.
• Building AI-facing data foundations — AI semantics and unstructured-data pipelines — that support the data products and data agents consumed by the AI team.
• Working to the engineering standards, ways of working and technical direction set for the data domain, applying them consistently in build and code review.
• Working AI-first, using AI-assisted engineering and DataOps automation to accelerate delivery and operations, and build skills in emerging data and platform tooling.

What makes you stand out

We are looking for a hands-on tertiary educated, Data Engineer who has significant experience building and supporting production pipelines on a cloud data platform.

You will have exposure to modern analytics engineering tooling (dbt) and, ideally, engineering data for AI/GenAI consumption and will needexpertise in SQL, Python and cloud data warehouse technologies (Snowflake or comparable).

This role would suit an Engineer who can work in an DataOps automation environment, who is articulate and collaborative in their approach and wants to build a loner term career with in a leading property investment company.

What makes us stand out

• Enjoy flexible working arrangements and generous leave options.
• Experience market-leading parental leave benefits including 22 weeks paid leave for either carer and childcare allowance once you return to work.
• Embrace diverse and challenging career opportunities, supported by our dedicated Learning & Development Team committed to your growth.
• Engage in comprehensive Wellbeing programs and benefit from market-leading policies and support tailored to diverse needs.
• Be recognised by peers through nomination awards and take part in our generous Employee Referral Program.

We know the power of a great experience

• Ranked 4th in the 2025 Gender Equality Global Report released by Equileap.
• Placed 1st of real estate investment trusts in the S&P Global Corporate Sustainability Assessment 2025 Yearbook.
• Earned a Gold ranking in Australian Workplace Equality Index (AWEI) for LGBTQIA+ inclusion.
• Awarded our fifth consecutive Employer of Choice for Gender Equality citation from the Workplace Gender Equality Agency (WGEA) in 2023-2025.
• Committed to our second Stretch Reconciliation Action Plan (RAP).

GPT offers an inclusive workplace culture and embraces people with diverse perspectives, skills and backgrounds. We welcome applications from First Nations candidates, members of the LGBTQIA+ community, people living with disability and people of diverse ages, cultures and backgrounds.